Adaptive Auxiliary Particle Filter for Track-Before-Detect With Multiple Targets

Luis Ubeda-Medina*, Angel F. Garcia-Fernandez, Jesus Grajal

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

31 Citations (Scopus)

Abstract

A novel particle filter for multiple target tracking with track-before-detect measurement models is proposed. Particle filters efficiently perform target tracking under nonlinear or non-Gaussian models. However, their application to multiple target tracking suffers from the curse of dimensionality. We introduce an efficient particle filter for multiple target tracking which deals with the curse of dimensionality better than previously developed methods. The proposed algorithm is tested and compared to other multiple target tracking particle filters.

Original languageEnglish
Article number7894277
Pages (from-to)2317-2330
Number of pages14
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume53
Issue number5
DOIs
Publication statusPublished - Oct 2017
MoE publication typeA1 Journal article-refereed

Keywords

  • MULTITARGET TRACKING
  • CONVERGENCE RESULT
  • BAYESIAN-APPROACH

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